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Refers generally to making substantive conclusions from the results of a statistical analysis.

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I am estimating a local projection model, where on the lhs I have long log difference of the variable, and on the rhs I have log first difference. I am unsure how to interpret the coefficient. So ...
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I’m modeling mortality using a multivariate logistic regression model with a nonlinear effect of X1 and I’m examining whether this relationship changes across ...
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I come from a machine learning background, however I am trying to learn more traditional data science. I have a dataset of vehicles and the target is the Breakdown Likelihood (1 to 3, 1 being lowest), ...
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I am coming here looking for guidance on how to interpret a noticeable difference in results when estimating an OLS versus a weighted OLS model. Let me first provide some context on my problem. I ...
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I am working on my dissertation and my supervisor is on a trip, so I am trying to sort this on my own. I am studying the relationship between GDP and life satisfaction (Gallup Reports) for the period ...
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I am running n event study like DID analysis where my dependent variable is expressed in logs. The variable is the aggregate amount of sales from a given firm to a specific type of partner over a year,...
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If an interaction term in a regression model leads to a lower AIC (indicating a better model fit), but the p-value for the interaction term itself is not statistically significant, should the ...
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I am trying to visualize how a continuous independent variable X1 relates to a binary outcome Y, while allowing for potential ...
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In Bayesian inference, when the model is well-specified, and the prior is reasonable with respect to the true parameter of the model, the posterior is guaranteed to be well-calibrated under fairly ...
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In a multiple regression, how do you interpret the slope coefficient of a variable if some other power of the variable, say, the variable squared also appears as an explanatory variable, i.e., suppose ...
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I have 4 exogenous variables, 3 mediators, and 3 endogenous variables. AMOS has calculated direct and indirect effects, and I have relied on standardized indirect effects to report in my dissertation. ...
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I’m investigating the question: How does childbearing (specifically, transitioning from two to three children) affect mothers’ and fathers’ labor supply, particularly in rural versus urban settings? ...
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I'm struggling to interpret result of cointegration test (fractional case (Johansen and Nielsen, 2012)). This test suggest that in two non-stationary series could be a cointegration but in fractional ...
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I am using quantile regression and I was wondering whether it is appropriate to apply a natural log transformation of the dependent variable and then interpret the quantile regression results as ...
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I could really use some help interpreting my GLMM and its diagnostics. This is my first time posting so let me know if you would like further clarification on anything! I'm trying to build a model for ...
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The following plot describes the non-linear relationship between x and y variables. The data fit a pseudo-first-order association fairly well based on our appraisal of the residuals and x-y graph. ...
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In introductory courses, difference-in-differences (DiD) might be taught by framing the research design into a "pre-treatment" period and a "post-treatment" period. That is, there ...
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I've fixed my model and incorporated all the terms I believe have an effect on my response (abundance of a single species), but I'm stuck on how to interpret the long-term trend plot, ...
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I have been doing supervised UG research for the last year, and when I did an initial power analysis for the experimental phase in January (preliminary phase was questionnaire data and recruitment) a ...
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The background info: We are testing a water filtration machine that processes water from a lake. We suspect that the machine may kill algae or act as a "breeding site" for algae in the water....
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Below is a question that has nagged me for a long time. I've had a look at some other threads about confidence intervals (in particular this one What, precisely, is a confidence interval?) but I ...
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When interpreting loadings for different principal components in PCA, sometimes the same variable will have a positive loading for one PC, and a negative loading in another PC, despite both PCs having ...
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I have calculated the average marginal effects/AMEs of some predictors on my outcome variable following a fitted mixed effects Beta regression model. My question is, how to make interpretation of the ...
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How does one statistically compare HR from a main analysis vs. HR from a sensitivity analysis (from that main analysis)?
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Suppose we have a linear regression model fitted with rms::ols in R. Now suppose we have our response (i.e., dependent) variable, which is ...
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I am conducting a research "Analysis of consumer behavior on the marketplace". As a result of the analysis, the following regression equation was obtained: Ln(Sales) = 4,688 - 0,...
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I am doing conditional logistic regression in R using clogit from survival. Lets say that Y takes values fail/succes. My ...
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We are testing a water filtration machine that filters lake water using two sequential filters. The goal is to determine whether the machine effectively removes certain chemicals. To test this, we ...
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I am fitting an interrupted time series model to analyze a binary outcome: whether a woman reported feeding the child solid food within the first six months of birth (Yes/No). The main exposure is ...
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I developed and compared four ML models via Random Forest, Support Vector Machine, Logistic Regression, and Xgboost (tidymodels R package) algorithms using data without stratification by age groups. ...
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I'm a 5th year PhD student in Experimental Psychology who should be graduating this May. Before I send out my final draft to my committee, my advisor wanted me to do a 2 X 2 between subjects ANOVA. My ...
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** Edited ** Such a good point! I don't know why I included sex as a random effect instead of a fixed effect! Code is updated to reflect the changes. Perhaps I should make Sex an interaction term ...
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I have a doubt. When we say the probability of a coin toss resulting in a head is 50%, we solely refer to that event alone. If we are to take into account the coin toss for a number of events, we ...
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I am currently performing a network meta-analysis with BUGSnet package in R. I have some issues interpreting meta-regression results. It’s not clear to me how to interpret the league plot of the meta-...
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I'm working on a project in which I am evaluating scales. I'm running into an issue where despite fitting two CFA models separately and achieving good fit, when put together in a correlated factors ...
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For a basic linear regression: $$y = \beta_0 + \beta_1 x + \varepsilon$$ Its clear to see the interpretation of the estimated parameters: $$y = \beta_0 + \beta_1 x + \varepsilon$$ $$\frac{dy}{dx} = \...
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Question on a difference in difference analysis as I confused myself trying to interpret it in simple terms: I have an intervention which shows a decrease of 8% in hospital visits. Let's say in my ...
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I am working with a beta regression tree model and have estimated the mean and precision coefficients. However, I am having difficulty interpreting these coefficients. Can you help me understand them ...
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I’ve come up with a dynamic approach to formatting numbers that I find much clearer than the traditional fixed-decimal formats, especially when displaying regression outputs. Here’s the system I use: ...
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Say I'm interpreting my MLR and writing about one of my independent variables and it is an index (0-1), the coefficient is 4.169* . My dependent variable is in units degrees celsius. How do I ...
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I have a regression as follows: log(Wage) = B1Female + B2Non-white + B3(Female X Non-white) + Fixed-effect + e My understanding is that, the change in the wage for white-male = 0 (baseline) the ...
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I understand that the interpretation of a 95% confidence interval (CI) is that, in the long run, 95% of such intervals computed from repeated experiments will contain the true parameter. I also know ...
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Would it be incorrect to interpret a power analysis as: one possible method of calculating the minimum required sample size to detect a change (%) in a population mean, from one point in time to ...
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I am trying to better understand Poisson models whose coefficients are expressed in log-counts because counts are skewed. See example estimates on synthetic data below. Some suggest interpreting log-...
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What does a negative partial dependency value (centered/mean value), such as a change from -0.8 to -0.7 with an increase in input, indicate for a parameter? Does this mean the parameter has a negative ...
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I ran a psychology experiment where I manipulated the participant's task. While I'm looking at the effect of Task on my measure, I also wanted to explore whether there is a trial order effect on that ...
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I understand that from logistic regression, (let's say with two predictors) $$\log\left(\frac{p}{1-p}\right) = \beta_0 + \beta_1x_1 + \beta_2 x_2$$ and that when $x_1$ is binary, this can be ...
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After running a linear regression model I get the beta as effect size. This linear regression model was run in r using the geeglm...
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I am generating a simple 2 by N contingency table that summarizes women’s employment status before and during/after COVID-19. The columns represent the two time periods: 1) Before COVID and 2) During/...
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So, I have been trying to use GAMs to observe the relationship between total economic damages (due to a certain event) and a variety of factors, including, total number of events, total number of ...
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